prompts.chat — 1000+ Tested Prompts for ChatGPT, Claude, Gemini & Everything Else
prompts.chat — 1000+ Tested Prompts for ChatGPT, Claude, Gemini & Everything ElseStop typing “write me a blog post” and wondering why the output is garbage. This fixes that.
Most people use AI like a search engine — vague question in, mediocre answer out. It’s actually 3 steps and a good prompt away from writing your emails, debugging your code, planning your business, and doing your homework better than you can.
The difference between a useless AI response and a mind-blowing one? The prompt. This library has thousands of them — tested, community-curated, and free.
🧠 What This Actually Is — Plain English
Think of it as a cheat sheet for talking to AI.
Every AI model — ChatGPT, Claude, Gemini, Llama, Mistral — responds based on how you ask. Vague input = vague output. Specific, well-structured input = the AI suddenly becomes an expert-level assistant.
prompts.chat is a massive, community-built library of proven prompts that tell AI exactly what role to play, what context to use, and what format to deliver. Instead of figuring out how to phrase things yourself, you grab a tested prompt, paste it in, and get dramatically better results.
| Without a good prompt | With a prompts.chat prompt |
|---|---|
| “Help me with my resume” → generic bullet points | “Act as a senior HR recruiter. Review my resume for [role]. Identify weak bullet points and rewrite them using the XYZ formula.” → targeted, actionable feedback |
| “Write a marketing email” → sounds like a robot | “Act as a direct-response copywriter. Write a 3-paragraph email for [product] using the PAS framework targeting [audience].” → persuasive, specific, human |
| “Explain this code” → wall of text | “Act as a senior developer doing a code review. Explain what this function does, identify bugs, and suggest improvements with code examples.” → structured, useful |
The library has prompts for literally everything — writing, coding, marketing, education, finance, health, legal, creative fiction, and dozens more categories.
⚡ Why This One — Not Just Another Prompt List
There are hundreds of “best AI prompts” articles online. Most are SEO filler. This is different.
| Stat | Detail |
|---|---|
| GitHub stars | 143,000+ — one of the most starred repos on all of GitHub |
| Featured in | Forbes |
| Referenced by | Harvard, Columbia — 40+ academic citations |
| Endorsed by | Greg Brockman (OpenAI co-founder), Clement Delangue (Hugging Face CEO), Thomas Dohmke (former GitHub CEO) |
| Hugging Face | Most liked dataset on the platform |
| License | CC0 1.0 — public domain. Use it however you want. |
| First released | December 2022 — the original prompt library |
| Still active | Community contributions, interactive book, self-hosting option |
This isn’t a blog post someone wrote for clicks. It’s an open-source project maintained by a community of thousands, endorsed by the people who literally built the AI industry.
🔧 How to Use It — 3 Ways
Way 1: Browse on the website (fastest)
Go to prompts.chat → search or browse by category → copy a prompt → paste into any AI chat.
Way 2: GitHub repo (full library + contribute)
Visit github.com/f/prompts.chat → browse the README for all prompts → fork it, customize it, add your own.
Way 3: Hugging Face dataset (for developers)
The entire prompt library is available as a dataset on Hugging Face — CC0 licensed. Load it into any application, fine-tune models with it, or build your own prompt tool on top.
Way 4: Self-host for your team
The repo supports self-hosting — run the entire prompt library privately for your organization. No data leaves your servers.
Way 5: Read the book (learn prompt engineering)
They have a free, interactive guide — 25+ chapters covering basics to advanced techniques like chain-of-thought reasoning, few-shot learning, and AI agents. Link on the repo.
🎯 Prompt Categories — What's Actually Inside
| Category | Example Prompts |
|---|---|
| Writing & Content | Blog posts, emails, ad copy, social media, storytelling, SEO content |
| Coding & Dev | Code review, debugging, architecture, documentation, SQL, regex |
| Business & Marketing | SWOT analysis, business plans, sales emails, campaign strategy |
| Education | Tutoring, essay help, exam prep, lesson planning, ELI5 explanations |
| Creative | Fiction writing, worldbuilding, character development, songwriting |
| Productivity | Meeting notes, project planning, decision frameworks, habit tracking |
| Role-playing | Act as: lawyer, doctor, recruiter, therapist, historian, chef, etc. |
| Technical | System design, DevOps, security auditing, data analysis |
| Language | Translation, grammar correction, writing style adaptation |
| Fun | Trivia games, storytelling, creative challenges, debate practice |
The “Act As” format is the backbone — you tell the AI to adopt a specific expert role, give it context, and define what output you want. It’s simple and it works across every model.
💰 How People Actually Make Money With Better Prompts
Better prompts aren’t just about better chat responses. They’re a leverage multiplier.
| Use Case | How It Pays |
|---|---|
| Freelance writing | Produce 3x more client content per hour with structured prompts → more revenue, same time |
| SEO & marketing | Generate keyword-optimized content briefs, meta descriptions, ad copy at scale |
| Consulting | Use “Act as strategist” prompts to generate frameworks and analyses that impress clients |
| E-commerce | Product descriptions, email sequences, and A/B test copy — all prompt-driven |
| Development | Debug faster, generate boilerplate, write documentation — fewer billable hours wasted on grunt work |
| Education & coaching | Build course content, lesson plans, and student exercises in a fraction of the time |
| Prompt engineering as a service | Businesses pay $50-150/hr for people who can write prompts that actually work |
The pattern: AI makes everyone’s output faster. Good prompts make AI’s output better. The people who combine both get an unfair advantage.
🛠️ Links & Resources
| Resource | Link |
|---|---|
| Website (browse prompts) | prompts.chat |
| GitHub repo | github.com/f/prompts.chat |
| Hugging Face dataset | fka/awesome-chatgpt-prompts |
| Prompt engineering book | Linked in the repo — free, interactive, 25+ chapters |
| Contribute a prompt | prompts.chat/prompts/new |
Quick Hits
| Want | Do |
|---|---|
 Better AI responses instantly |
→ prompts.chat → copy a prompt → paste into any AI |
 Build on top of it |
→ Hugging Face dataset — CC0 licensed |
 Learn prompt engineering |
→ Free book in the GitHub repo |
 Add your own prompts |
→ prompts.chat/prompts/new |
The AI is only as smart as the question you ask it. Ask better.
!